Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
This paper presents a compilation framework that allows executable code to be shared across different Java Virtual Machine (JVM) instances. All fully compliant JVMs that target se...
Pramod G. Joisha, Samuel P. Midkiff, Mauricio J. S...
This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasi...
Abstract. The requirements for effective search and management of the WWW are stronger than ever. Currently Web documents are classified based on their content not taking into acco...
Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, ...
This article defines a Framework for Machine Translation Evaluation (FEMTI) which relates the quality model used to evaluate a machine translation system to the purpose and context...
Eduard H. Hovy, Margaret King, Andrei Popescu-Beli...